| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6854703 | Expert Systems with Applications | 2018 | 31 Pages |
Abstract
Mobile application (app) websites such as Google Play and AppStore allow users to review their downloaded apps. Such reviews can be useful for app users, as they may help users make an informed decision; such reviews can also be potentially useful for app developers, if they contain valuable information concerning user needs and requirements. However, in order to unleash the value of app reviews for mobile app development, intelligent mining tools that can help discern relevant reviews from irrelevant ones must be provided. This paper surveys the state of the art in the development of such tools and techniques behind them. To gain insight into the maturity of the current support mining tools, the paper will also find out what app development information these tools have discovered and what challenges they are facing. The results of this survey can inform the development of more effective and intelligent app review mining techniques and tools.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mohammadali Tavakoli, Liping Zhao, Atefeh Heydari, Goran NenadiÄ,